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Research On Human-Computer Interaction Based Public-Traffic Scheduling System

Posted on:2014-12-29Degree:MasterType:Thesis
Country:ChinaCandidate:J H HeFull Text:PDF
GTID:2298330434450842Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Urban public transport operations scheduling are the core of enterprise management business, improving the operation of China’s urban public transport scheduling level. It’s an important way to improve urban public transport service quality, and enhance the attractiveness of urban public transport.The paper first introduced the content and method of investigation of public transportation data which is the basis for bus dispatching. Describes and analyses four appropriate data-collection approaches in order to set frequencies and headways efficiently. Create and present two approaches and procedures for deriving prudent public timetables. While the first procedure yields departure times (a timetable) for vehicles with even scheduled headways with smooth transitions, the second procedure produces departure times for vehicles having even average loads at the hourly max load point. Propose one method for determining vehicle timetable.Based on the investigation in passenger traffic, according to the theory, we develop the public transport scheduling management system. The system is based on the open Excel2007platform, using the VBA language secondary development, to realize the data input of bus survey, using4methods to set frequencies and headways, the functions of making timetables of vehicle and station.The paper focuses in the characteristics of public transportation system in Hengyang city. Did ride check to Hengyang28Road. Finally, did a case study to survey data by using newly developed system.The development and application of public transit scheduling management system will simplify the work of bus dispatching staff, improve work efficiency and use the existing resources (such as vehicles) to improve service levels adequately and reasonability.
Keywords/Search Tags:urban public transport, data collection, scheduling management, Human-Computer Interaction
PDF Full Text Request
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